Looking at knock‐on effects: univariable, multivariable linear regression

Details on multivariable and univariable methods

The topology-based pathway analysis methods test one of the two types of null hypotheses as proposed in [6] for gene set enrichment analysis. The first hypothesis expects the genes in a pathway to be at most as often differentially expressed as the genes outside the pathway (the remaining genes measured in the experiment). Methods testing this hypothesis typically use gene randomization in the ...

Multifarious terminology: multivariable or multivariate? univariable or univariate?

Looking back at dense linear algebra software

Over the years, computational physics and chemistry served as an ongoing source of problems that demanded the ever increasing performance from hardware as well as the software that ran on top of it. Most of these problems could be translated into solutions for systems of linear equations: the very topic of numerical linear algebra. Seemingly then, a set of efficient linear solvers could be solv...

Multivariable Linear Systems

[ I j M. Athans and P. Falb. Optimal Corzrrol. New York: McGrawHill, 1966. [2j D. L. Kleinman and M. Athans. "The design of suboptimal linear time-varying systems." I E E E Trans. Automatic Corm.. vol. AC-13, pp. 150-158. April 1968. [3j T. Chen, "Sensitivity analysis and optimum design of multivariable regulators with application to VTOL aircraft stabilization," Ph.D. dissertation, Universit...

Interval linear regression

‎In this paper‎, ‎we have studied the analysis an interval linear regression model for fuzzy data‎. ‎In section one‎, ‎we have introduced the concepts required in this thesis and then we illustrated linear regression fuzzy sets and some primary definitions‎. ‎In section two‎, ‎we have introduced various methods of interval linear regression analysis‎. ‎In section three‎, ‎we have implemented nu...